Programmes

SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".

The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.

Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research
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The currently used mathematical models for medical treatment at the individual or population level are largely phenomenological and have limited quantitative predictive power. It is usually not possible to predict the effect of an intervention in a specific process or to predict the effect of a pharmaceutical drug since the step or enzyme on which the intervention/drug works is not explicit in the model.

Taking HIV pathogenesis as an example, the immune system response, vaccine exposure, and drug
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The main objective of the ERANET proposal Systems Biology Applications - ERASysAPP (app = application = translational systems biology) is to promote multidimensional and complementary European systems biology projects, programmes and research initiatives on a number of selected research topics. Inter alia, ERASysAPP will initiate, execute and monitor a number of joint transnational calls on systems biology research projects with a particular focus on applications - or in other words so
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The German Network for Bioinformatics Infrastructure - de.NBI offers first class bioinformatics services including training and education to users in basic and applied life sciences research. In this network 40 projects belonging to eight service centers provide services that cover a wide variety of methods (genomics, proteomics, ...) and applications (from plants to humans).
de.NBI-SysBio is the Systems Biology Service Center of de.NBI. In collaboration with FAIRDOM,
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Salmon farming in the future must navigate conflicting and shifting demands of sustainability, shifting feed prices, disease, and product quality. The industry needs to develop a flexible, integrated basis of knowledge for rapid response to new challenges. The Digital Salmon will be an ensemble of mathematical descriptions of salmon physiology, combining mathematics, high-dimensional data analysis, computer science and measurement technology with genomics and experimental biology into a concerted
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This programme is used to store published data files that are not available in other FAIRDOM projects. We specifically store information for journals that we collaborate with for technical curation of mathematical models. These files are used in COMBINE archives to reproduce journal figures.

LiSyM (Liver Systems Medicine) represents a research network of German centers and institutions, brought together by a 20 Million Euro funding program of the German Government, in which mathematicians, modelers, pharmacologists, molecular biologists and clinical scientists work together to develop a Systems Medicine approach to study early and advanced liver disease. The aim of this unique research program is to acquire and use new experimental data and data from existing data bases to build
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Research of Computational Systems Biology Group, Institute of Microbiology and Biotechnology, University of Latvia and Biosystems group at Latvia University of Agriculture is funded by several programmes in several projects. This program is an umbrella for the projects.

Consortium of European research groups that aim to develop - in the forthcoming 10 years - a cluster of interlinked models that describe the whole-body human energy metabolism and its multi-dimensional regulation. Regulation includes interations with the brain, the immune system and the gut.

BioModelKit is a database for modular modeling, where modules describe the functionality of single biomolecular entities and their interactions with other molecules in terms of Petri nets. All modules adhere to the guidelines of the modular Petri net modeling concept, which has been developed in need of a sophisticated reconstruction of growing biomolecular models. The database allows to browse to single modules and to intuitively gather the functionality of a biomolecular entity by its corresponding
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FAIRDOM is establishing a support and service network for European Systems Biology. FAIRDOM is a joint action of ERA-Net ERASysAPP and European Research Infrastructure ISBE to establish a data and model management service facility for Systems Biology. Our prime mission is to support researchers, students, trainers, funders and publishers by enabling Systems Biology projects to make their Data, Operating procedures and Models, Findable, Accessible, Interoperable and Reusable (FAIR).

The goal of the dCod-project is to combine the competencies in environmental toxicology, biology, bioinformatics and mathematics across the traditional department boundaries, to create a deeper understanding of cods' adaptations and reactions to stressors in the environment.
Building on the thoroughly studies and mapping of the cod genome at UiO and the long research traditions on cod at the Department of Biology at UiB, the dCod project will expand our knowledge with methods based on genomics;
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The Collaborative Research Center / Transregio 124 Pathogenic fungi and their human host: Networks of Interaction - FungiNet studies the interaction of the human pathogenic fungi Candida albicans and Aspergillus fumigatus with their host using a Systems Biology approach. The yeast Candida albicans and the filamentous fungus Aspergillus fumigatus are by far the most important causes of life-threatening invasive mycoses in Europe. Despite the increasing incidence of these infections, the current
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The COLOSYS project aims to develop a deeper understanding of colon cancer networks and convert them into computer models with which it will be better to predict response to treatment.
The combination of computational, experimental and clinical testing will provide understanding of drug resistance mechanisms, and allow personalised treatment of colon cancer.